Overview

Dataset statistics

Number of variables22
Number of observations2113
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory444.2 KiB
Average record size in memory215.3 B

Variable types

Numeric19
Categorical3

Alerts

baseline value is highly overall correlated with histogram_mode and 2 other fieldsHigh correlation
light_decelerations is highly overall correlated with mean_value_of_short_term_variability and 3 other fieldsHigh correlation
abnormal_short_term_variability is highly overall correlated with mean_value_of_short_term_variabilityHigh correlation
mean_value_of_short_term_variability is highly overall correlated with light_decelerations and 6 other fieldsHigh correlation
percentage_of_time_with_abnormal_long_term_variability is highly overall correlated with mean_value_of_short_term_variability and 2 other fieldsHigh correlation
histogram_width is highly overall correlated with light_decelerations and 6 other fieldsHigh correlation
histogram_min is highly overall correlated with light_decelerations and 4 other fieldsHigh correlation
histogram_max is highly overall correlated with histogram_width and 2 other fieldsHigh correlation
histogram_number_of_peaks is highly overall correlated with mean_value_of_short_term_variability and 4 other fieldsHigh correlation
histogram_mode is highly overall correlated with baseline value and 3 other fieldsHigh correlation
histogram_mean is highly overall correlated with baseline value and 2 other fieldsHigh correlation
histogram_median is highly overall correlated with baseline value and 2 other fieldsHigh correlation
histogram_variance is highly overall correlated with light_decelerations and 6 other fieldsHigh correlation
severe_decelerations is highly overall correlated with histogram_modeHigh correlation
severe_decelerations is highly imbalanced (96.8%)Imbalance
accelerations has 886 (41.9%) zerosZeros
fetal_movement has 1302 (61.6%) zerosZeros
uterine_contractions has 323 (15.3%) zerosZeros
light_decelerations has 1218 (57.6%) zerosZeros
prolongued_decelerations has 1935 (91.6%) zerosZeros
percentage_of_time_with_abnormal_long_term_variability has 1235 (58.4%) zerosZeros
mean_value_of_long_term_variability has 137 (6.5%) zerosZeros
histogram_number_of_peaks has 107 (5.1%) zerosZeros
histogram_number_of_zeroes has 1611 (76.2%) zerosZeros
histogram_variance has 186 (8.8%) zerosZeros

Reproduction

Analysis started2023-05-05 07:23:10.338547
Analysis finished2023-05-05 07:24:49.846098
Duration1 minute and 39.51 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

baseline value
Real number (ℝ)

Distinct48
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.30478
Minimum106
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:50.062729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile119
Q1126
median133
Q3140
95-th percentile149
Maximum160
Range54
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.8374507
Coefficient of variation (CV)0.073796684
Kurtosis-0.28209358
Mean133.30478
Median Absolute Deviation (MAD)7
Skewness0.019759608
Sum281673
Variance96.775436
MonotonicityNot monotonic
2023-05-05T10:24:50.349694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
133 136
 
6.4%
130 111
 
5.3%
122 106
 
5.0%
138 102
 
4.8%
125 91
 
4.3%
128 85
 
4.0%
120 78
 
3.7%
142 77
 
3.6%
132 76
 
3.6%
144 76
 
3.6%
Other values (38) 1175
55.6%
ValueCountFrequency (%)
106 7
 
0.3%
110 21
 
1.0%
112 16
 
0.8%
114 11
 
0.5%
115 28
 
1.3%
116 5
 
0.2%
117 2
 
0.1%
118 9
 
0.4%
119 17
 
0.8%
120 78
3.7%
ValueCountFrequency (%)
160 1
 
< 0.1%
159 12
0.6%
158 10
 
0.5%
157 4
 
0.2%
156 4
 
0.2%
154 8
 
0.4%
152 17
0.8%
151 14
0.7%
150 26
1.2%
149 18
0.9%

accelerations
Real number (ℝ)

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0031883578
Minimum0
Maximum0.019
Zeros886
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:50.576726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.002
Q30.006
95-th percentile0.011
Maximum0.019
Range0.019
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.0038713346
Coefficient of variation (CV)1.2142096
Kurtosis0.75365303
Mean0.0031883578
Median Absolute Deviation (MAD)0.002
Skewness1.2002074
Sum6.737
Variance1.4987232 × 10-5
MonotonicityNot monotonic
2023-05-05T10:24:50.778162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 886
41.9%
0.003 159
 
7.5%
0.002 159
 
7.5%
0.001 143
 
6.8%
0.004 117
 
5.5%
0.006 112
 
5.3%
0.005 109
 
5.2%
0.008 103
 
4.9%
0.007 90
 
4.3%
0.009 60
 
2.8%
Other values (10) 175
 
8.3%
ValueCountFrequency (%)
0 886
41.9%
0.001 143
 
6.8%
0.002 159
 
7.5%
0.003 159
 
7.5%
0.004 117
 
5.5%
0.005 109
 
5.2%
0.006 112
 
5.3%
0.007 90
 
4.3%
0.008 103
 
4.9%
0.009 60
 
2.8%
ValueCountFrequency (%)
0.019 1
 
< 0.1%
0.018 2
 
0.1%
0.017 4
 
0.2%
0.016 7
 
0.3%
0.015 9
 
0.4%
0.014 20
 
0.9%
0.013 22
1.0%
0.012 24
1.1%
0.011 36
1.7%
0.01 50
2.4%

fetal_movement
Real number (ℝ)

Distinct102
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009517274
Minimum0
Maximum0.481
Zeros1302
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:51.076212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003
95-th percentile0.0284
Maximum0.481
Range0.481
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.046803757
Coefficient of variation (CV)4.9177692
Kurtosis63.857423
Mean0.009517274
Median Absolute Deviation (MAD)0
Skewness7.7880142
Sum20.11
Variance0.0021905917
MonotonicityNot monotonic
2023-05-05T10:24:51.357895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1302
61.6%
0.001 164
 
7.8%
0.002 112
 
5.3%
0.003 87
 
4.1%
0.004 48
 
2.3%
0.005 36
 
1.7%
0.006 31
 
1.5%
0.007 28
 
1.3%
0.008 25
 
1.2%
0.01 25
 
1.2%
Other values (92) 255
 
12.1%
ValueCountFrequency (%)
0 1302
61.6%
0.001 164
 
7.8%
0.002 112
 
5.3%
0.003 87
 
4.1%
0.004 48
 
2.3%
0.005 36
 
1.7%
0.006 31
 
1.5%
0.007 28
 
1.3%
0.008 25
 
1.2%
0.009 25
 
1.2%
ValueCountFrequency (%)
0.481 1
< 0.1%
0.477 1
< 0.1%
0.47 1
< 0.1%
0.469 1
< 0.1%
0.455 1
< 0.1%
0.451 1
< 0.1%
0.446 1
< 0.1%
0.443 1
< 0.1%
0.441 1
< 0.1%
0.43 1
< 0.1%

uterine_contractions
Real number (ℝ)

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0043871273
Minimum0
Maximum0.015
Zeros323
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:51.607834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.002
median0.005
Q30.007
95-th percentile0.009
Maximum0.015
Range0.015
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.0029406479
Coefficient of variation (CV)0.67029007
Kurtosis-0.62849434
Mean0.0043871273
Median Absolute Deviation (MAD)0.002
Skewness0.15429463
Sum9.27
Variance8.64741 × 10-6
MonotonicityNot monotonic
2023-05-05T10:24:51.808785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 323
15.3%
0.005 290
13.7%
0.004 242
11.5%
0.006 231
10.9%
0.007 216
10.2%
0.003 211
10.0%
0.008 160
7.6%
0.002 159
7.5%
0.001 118
 
5.6%
0.009 82
 
3.9%
Other values (6) 81
 
3.8%
ValueCountFrequency (%)
0 323
15.3%
0.001 118
 
5.6%
0.002 159
7.5%
0.003 211
10.0%
0.004 242
11.5%
0.005 290
13.7%
0.006 231
10.9%
0.007 216
10.2%
0.008 160
7.6%
0.009 82
 
3.9%
ValueCountFrequency (%)
0.015 1
 
< 0.1%
0.014 2
 
0.1%
0.013 2
 
0.1%
0.012 11
 
0.5%
0.011 16
 
0.8%
0.01 49
 
2.3%
0.009 82
 
3.9%
0.008 160
7.6%
0.007 216
10.2%
0.006 231
10.9%

light_decelerations
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0019010885
Minimum0
Maximum0.015
Zeros1218
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:52.029254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003
95-th percentile0.008
Maximum0.015
Range0.015
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.0029655796
Coefficient of variation (CV)1.5599377
Kurtosis2.483415
Mean0.0019010885
Median Absolute Deviation (MAD)0
Skewness1.7094695
Sum4.017
Variance8.7946626 × 10-6
MonotonicityNot monotonic
2023-05-05T10:24:52.237092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1218
57.6%
0.001 163
 
7.7%
0.003 118
 
5.6%
0.002 115
 
5.4%
0.004 114
 
5.4%
0.005 107
 
5.1%
0.006 74
 
3.5%
0.008 55
 
2.6%
0.007 54
 
2.6%
0.009 37
 
1.8%
Other values (6) 58
 
2.7%
ValueCountFrequency (%)
0 1218
57.6%
0.001 163
 
7.7%
0.002 115
 
5.4%
0.003 118
 
5.6%
0.004 114
 
5.4%
0.005 107
 
5.1%
0.006 74
 
3.5%
0.007 54
 
2.6%
0.008 55
 
2.6%
0.009 37
 
1.8%
ValueCountFrequency (%)
0.015 3
 
0.1%
0.014 7
 
0.3%
0.013 8
 
0.4%
0.012 12
 
0.6%
0.011 13
 
0.6%
0.01 15
 
0.7%
0.009 37
1.8%
0.008 55
2.6%
0.007 54
2.6%
0.006 74
3.5%

severe_decelerations
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size140.3 KiB
0.0
2106 
0.001
 
7

Length

Max length5
Median length3
Mean length3.0066257
Min length3

Characters and Unicode

Total characters6353
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 2106
99.7%
0.001 7
 
0.3%

Length

2023-05-05T10:24:52.461392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-05T10:24:52.828107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2106
99.7%
0.001 7
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 4233
66.6%
. 2113
33.3%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4240
66.7%
Other Punctuation 2113
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4233
99.8%
1 7
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 2113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6353
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4233
66.6%
. 2113
33.3%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4233
66.6%
. 2113
33.3%
1 7
 
0.1%

prolongued_decelerations
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00015948888
Minimum0
Maximum0.005
Zeros1935
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:53.013137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum0.005
Range0.005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00059162889
Coefficient of variation (CV)3.7095307
Kurtosis20.364688
Mean0.00015948888
Median Absolute Deviation (MAD)0
Skewness4.3087872
Sum0.337
Variance3.5002474 × 10-7
MonotonicityNot monotonic
2023-05-05T10:24:53.208745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1935
91.6%
0.002 72
 
3.4%
0.001 70
 
3.3%
0.003 24
 
1.1%
0.004 9
 
0.4%
0.005 3
 
0.1%
ValueCountFrequency (%)
0 1935
91.6%
0.001 70
 
3.3%
0.002 72
 
3.4%
0.003 24
 
1.1%
0.004 9
 
0.4%
0.005 3
 
0.1%
ValueCountFrequency (%)
0.005 3
 
0.1%
0.004 9
 
0.4%
0.003 24
 
1.1%
0.002 72
 
3.4%
0.001 70
 
3.3%
0 1935
91.6%
Distinct75
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.993848
Minimum12
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:53.444832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile21
Q132
median49
Q361
95-th percentile75
Maximum87
Range75
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.177782
Coefficient of variation (CV)0.36553257
Kurtosis-1.0514581
Mean46.993848
Median Absolute Deviation (MAD)14
Skewness-0.011863073
Sum99298
Variance295.07619
MonotonicityNot monotonic
2023-05-05T10:24:53.726881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 62
 
2.9%
58 61
 
2.9%
65 59
 
2.8%
63 58
 
2.7%
64 58
 
2.7%
61 57
 
2.7%
51 54
 
2.6%
62 50
 
2.4%
22 48
 
2.3%
25 46
 
2.2%
Other values (65) 1560
73.8%
ValueCountFrequency (%)
12 2
 
0.1%
13 7
 
0.3%
14 4
 
0.2%
15 4
 
0.2%
16 12
 
0.6%
17 13
 
0.6%
18 10
 
0.5%
19 16
0.8%
20 27
1.3%
21 33
1.6%
ValueCountFrequency (%)
87 1
 
< 0.1%
86 4
 
0.2%
84 6
 
0.3%
83 4
 
0.2%
82 2
 
0.1%
81 7
 
0.3%
80 7
 
0.3%
79 15
0.7%
78 19
0.9%
77 15
0.7%
Distinct57
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3350213
Minimum0.2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:54.021619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.3
Q10.7
median1.2
Q31.7
95-th percentile3
Maximum7
Range6.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.88436772
Coefficient of variation (CV)0.66243716
Kurtosis4.6887351
Mean1.3350213
Median Absolute Deviation (MAD)0.5
Skewness1.6561444
Sum2820.9
Variance0.78210626
MonotonicityNot monotonic
2023-05-05T10:24:54.295668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8 122
 
5.8%
1.3 121
 
5.7%
0.5 120
 
5.7%
0.4 118
 
5.6%
0.7 117
 
5.5%
0.6 113
 
5.3%
0.9 112
 
5.3%
1.2 106
 
5.0%
1.5 100
 
4.7%
1 99
 
4.7%
Other values (47) 985
46.6%
ValueCountFrequency (%)
0.2 46
 
2.2%
0.3 84
4.0%
0.4 118
5.6%
0.5 120
5.7%
0.6 113
5.3%
0.7 117
5.5%
0.8 122
5.8%
0.9 112
5.3%
1 99
4.7%
1.1 97
4.6%
ValueCountFrequency (%)
7 1
< 0.1%
6.9 1
< 0.1%
6.3 2
0.1%
6 1
< 0.1%
5.9 1
< 0.1%
5.7 1
< 0.1%
5.4 2
0.1%
5.3 1
< 0.1%
5.2 1
< 0.1%
5 2
0.1%

percentage_of_time_with_abnormal_long_term_variability
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct87
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7950781
Minimum0
Maximum91
Zeros1235
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:54.578330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile56
Maximum91
Range91
Interquartile range (IQR)11

Descriptive statistics

Standard deviation18.337073
Coefficient of variation (CV)1.8720701
Kurtosis4.3211652
Mean9.7950781
Median Absolute Deviation (MAD)0
Skewness2.2060382
Sum20697
Variance336.24823
MonotonicityNot monotonic
2023-05-05T10:24:54.846588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1235
58.4%
1 52
 
2.5%
2 44
 
2.1%
5 43
 
2.0%
4 39
 
1.8%
3 36
 
1.7%
8 33
 
1.6%
6 31
 
1.5%
12 29
 
1.4%
10 23
 
1.1%
Other values (77) 548
25.9%
ValueCountFrequency (%)
0 1235
58.4%
1 52
 
2.5%
2 44
 
2.1%
3 36
 
1.7%
4 39
 
1.8%
5 43
 
2.0%
6 31
 
1.5%
7 22
 
1.0%
8 33
 
1.6%
9 22
 
1.0%
ValueCountFrequency (%)
91 4
0.2%
90 2
 
0.1%
88 1
 
< 0.1%
86 1
 
< 0.1%
85 1
 
< 0.1%
84 6
0.3%
82 1
 
< 0.1%
81 2
 
0.1%
79 1
 
< 0.1%
78 3
0.1%
Distinct249
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1666351
Minimum0
Maximum50.7
Zeros137
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:55.114919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.6
median7.4
Q310.8
95-th percentile18.5
Maximum50.7
Range50.7
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation5.6329119
Coefficient of variation (CV)0.68974697
Kurtosis4.1655522
Mean8.1666351
Median Absolute Deviation (MAD)3.1
Skewness1.3431333
Sum17256.1
Variance31.729696
MonotonicityNot monotonic
2023-05-05T10:24:55.399277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137
 
6.5%
7.1 29
 
1.4%
6.7 29
 
1.4%
6.5 25
 
1.2%
5.2 25
 
1.2%
9.5 24
 
1.1%
6.8 23
 
1.1%
5.6 23
 
1.1%
8.5 23
 
1.1%
7.2 23
 
1.1%
Other values (239) 1752
82.9%
ValueCountFrequency (%)
0 137
6.5%
0.1 4
 
0.2%
0.2 4
 
0.2%
0.3 9
 
0.4%
0.4 6
 
0.3%
0.5 11
 
0.5%
0.6 3
 
0.1%
0.7 4
 
0.2%
0.8 1
 
< 0.1%
0.9 5
 
0.2%
ValueCountFrequency (%)
50.7 1
< 0.1%
41.8 1
< 0.1%
40.8 1
< 0.1%
36.9 1
< 0.1%
35.7 1
< 0.1%
34.7 1
< 0.1%
33.5 1
< 0.1%
29.6 1
< 0.1%
29.5 1
< 0.1%
29.3 1
< 0.1%

histogram_width
Real number (ℝ)

Distinct154
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.535258
Minimum3
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:55.670284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q137
median68
Q3100
95-th percentile138
Maximum180
Range177
Interquartile range (IQR)63

Descriptive statistics

Standard deviation39.007706
Coefficient of variation (CV)0.55302422
Kurtosis-0.90724018
Mean70.535258
Median Absolute Deviation (MAD)32
Skewness0.311019
Sum149041
Variance1521.6011
MonotonicityNot monotonic
2023-05-05T10:24:55.944656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 39
 
1.8%
102 35
 
1.7%
27 30
 
1.4%
31 29
 
1.4%
98 28
 
1.3%
22 27
 
1.3%
90 27
 
1.3%
83 27
 
1.3%
96 27
 
1.3%
42 26
 
1.2%
Other values (144) 1818
86.0%
ValueCountFrequency (%)
3 2
 
0.1%
5 2
 
0.1%
6 1
 
< 0.1%
7 3
 
0.1%
8 10
0.5%
9 6
 
0.3%
10 9
0.4%
11 10
0.5%
12 20
0.9%
13 13
0.6%
ValueCountFrequency (%)
180 1
 
< 0.1%
176 6
0.3%
163 2
 
0.1%
162 1
 
< 0.1%
161 5
0.2%
158 2
 
0.1%
153 3
 
0.1%
150 10
0.5%
149 11
0.5%
148 8
0.4%

histogram_min
Real number (ℝ)

Distinct109
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.5646
Minimum50
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:56.225263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile51
Q167
median93
Q3120
95-th percentile139
Maximum159
Range109
Interquartile range (IQR)53

Descriptive statistics

Standard deviation29.562269
Coefficient of variation (CV)0.31595571
Kurtosis-1.2897063
Mean93.5646
Median Absolute Deviation (MAD)27
Skewness0.11718523
Sum197702
Variance873.92776
MonotonicityNot monotonic
2023-05-05T10:24:56.510578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 76
 
3.6%
52 50
 
2.4%
120 48
 
2.3%
71 47
 
2.2%
60 45
 
2.1%
68 43
 
2.0%
67 41
 
1.9%
103 37
 
1.8%
51 36
 
1.7%
62 35
 
1.7%
Other values (99) 1655
78.3%
ValueCountFrequency (%)
50 76
3.6%
51 36
1.7%
52 50
2.4%
53 32
1.5%
54 27
 
1.3%
55 20
 
0.9%
56 19
 
0.9%
57 22
 
1.0%
58 21
 
1.0%
59 17
 
0.8%
ValueCountFrequency (%)
159 1
 
< 0.1%
158 1
 
< 0.1%
156 1
 
< 0.1%
155 2
 
0.1%
154 3
 
0.1%
153 8
0.4%
152 4
0.2%
151 4
0.2%
150 3
 
0.1%
149 2
 
0.1%

histogram_max
Real number (ℝ)

Distinct86
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.09986
Minimum122
Maximum238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:56.777466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile138
Q1152
median162
Q3174
95-th percentile198
Maximum238
Range116
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.945175
Coefficient of variation (CV)0.10935522
Kurtosis0.63543122
Mean164.09986
Median Absolute Deviation (MAD)11
Skewness0.57553441
Sum346743
Variance322.02932
MonotonicityNot monotonic
2023-05-05T10:24:57.058642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157 71
 
3.4%
171 65
 
3.1%
158 62
 
2.9%
156 58
 
2.7%
159 58
 
2.7%
152 53
 
2.5%
154 52
 
2.5%
178 52
 
2.5%
172 48
 
2.3%
153 48
 
2.3%
Other values (76) 1546
73.2%
ValueCountFrequency (%)
122 2
 
0.1%
123 2
 
0.1%
125 3
 
0.1%
126 5
0.2%
127 2
 
0.1%
128 4
 
0.2%
129 10
0.5%
130 8
0.4%
131 7
0.3%
132 4
 
0.2%
ValueCountFrequency (%)
238 6
 
0.3%
230 3
 
0.1%
228 5
 
0.2%
213 1
 
< 0.1%
211 5
 
0.2%
210 4
 
0.2%
205 1
 
< 0.1%
204 3
 
0.1%
200 31
1.5%
199 20
0.9%

histogram_number_of_peaks
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0771415
Minimum0
Maximum18
Zeros107
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:57.294352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9516644
Coefficient of variation (CV)0.72395437
Kurtosis0.49960227
Mean4.0771415
Median Absolute Deviation (MAD)2
Skewness0.88985067
Sum8615
Variance8.7123229
MonotonicityNot monotonic
2023-05-05T10:24:57.507781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 351
16.6%
2 329
15.6%
3 267
12.6%
4 257
12.2%
5 210
9.9%
6 158
7.5%
7 143
6.8%
0 107
 
5.1%
8 106
 
5.0%
9 67
 
3.2%
Other values (8) 118
 
5.6%
ValueCountFrequency (%)
0 107
 
5.1%
1 351
16.6%
2 329
15.6%
3 267
12.6%
4 257
12.2%
5 210
9.9%
6 158
7.5%
7 143
6.8%
8 106
 
5.0%
9 67
 
3.2%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 2
 
0.1%
15 1
 
< 0.1%
14 5
 
0.2%
13 10
 
0.5%
12 22
 
1.0%
11 28
 
1.3%
10 49
2.3%
9 67
3.2%
8 106
5.0%
Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32560341
Minimum0
Maximum10
Zeros1611
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:57.713955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.70777101
Coefficient of variation (CV)2.1737211
Kurtosis30.203055
Mean0.32560341
Median Absolute Deviation (MAD)0
Skewness3.9080347
Sum688
Variance0.5009398
MonotonicityNot monotonic
2023-05-05T10:24:57.908542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1611
76.2%
1 366
 
17.3%
2 108
 
5.1%
3 21
 
1.0%
4 2
 
0.1%
5 2
 
0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 1611
76.2%
1 366
 
17.3%
2 108
 
5.1%
3 21
 
1.0%
4 2
 
0.1%
5 2
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
5 2
 
0.1%
4 2
 
0.1%
3 21
 
1.0%
2 108
 
5.1%
1 366
 
17.3%
0 1611
76.2%

histogram_mode
Real number (ℝ)

Distinct88
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.45433
Minimum60
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:58.138855image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile111
Q1129
median139
Q3148
95-th percentile160
Maximum187
Range127
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.402026
Coefficient of variation (CV)0.11932709
Kurtosis3.013333
Mean137.45433
Median Absolute Deviation (MAD)10
Skewness-0.99747455
Sum290441
Variance269.02644
MonotonicityNot monotonic
2023-05-05T10:24:59.229129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133 140
 
6.6%
136 89
 
4.2%
150 88
 
4.2%
142 86
 
4.1%
148 79
 
3.7%
144 78
 
3.7%
129 73
 
3.5%
143 70
 
3.3%
125 67
 
3.2%
126 66
 
3.1%
Other values (78) 1277
60.4%
ValueCountFrequency (%)
60 6
0.3%
67 5
0.2%
69 1
 
< 0.1%
71 1
 
< 0.1%
75 6
0.3%
76 1
 
< 0.1%
77 1
 
< 0.1%
86 11
0.5%
88 6
0.3%
89 3
 
0.1%
ValueCountFrequency (%)
187 1
 
< 0.1%
186 6
0.3%
180 4
 
0.2%
179 1
 
< 0.1%
176 6
0.3%
170 4
 
0.2%
169 3
 
0.1%
167 8
0.4%
165 10
0.5%
164 1
 
< 0.1%

histogram_mean
Real number (ℝ)

Distinct103
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.59962
Minimum73
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:24:59.526635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile108
Q1125
median136
Q3145
95-th percentile157
Maximum182
Range109
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.610422
Coefficient of variation (CV)0.11597671
Kurtosis0.93483121
Mean134.59962
Median Absolute Deviation (MAD)10
Skewness-0.65206774
Sum284409
Variance243.68527
MonotonicityNot monotonic
2023-05-05T10:24:59.807492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143 65
 
3.1%
144 63
 
3.0%
135 63
 
3.0%
141 61
 
2.9%
140 60
 
2.8%
132 59
 
2.8%
133 58
 
2.7%
136 57
 
2.7%
147 57
 
2.7%
145 57
 
2.7%
Other values (93) 1513
71.6%
ValueCountFrequency (%)
73 1
 
< 0.1%
75 1
 
< 0.1%
76 1
 
< 0.1%
78 1
 
< 0.1%
79 1
 
< 0.1%
80 2
0.1%
81 1
 
< 0.1%
82 2
0.1%
83 4
0.2%
84 3
0.1%
ValueCountFrequency (%)
182 1
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
175 1
< 0.1%
173 2
0.1%
172 1
< 0.1%
171 2
0.1%
170 1
< 0.1%
169 1
< 0.1%
168 1
< 0.1%

histogram_median
Real number (ℝ)

Distinct95
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.08945
Minimum77
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:25:00.093031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile113
Q1129
median139
Q3148
95-th percentile159
Maximum186
Range109
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.478957
Coefficient of variation (CV)0.10485202
Kurtosis0.67241173
Mean138.08945
Median Absolute Deviation (MAD)10
Skewness-0.47994234
Sum291783
Variance209.6402
MonotonicityNot monotonic
2023-05-05T10:25:00.384151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137 68
 
3.2%
146 68
 
3.2%
142 68
 
3.2%
145 67
 
3.2%
147 64
 
3.0%
141 63
 
3.0%
134 62
 
2.9%
151 62
 
2.9%
149 60
 
2.8%
140 56
 
2.7%
Other values (85) 1475
69.8%
ValueCountFrequency (%)
77 1
< 0.1%
78 1
< 0.1%
79 2
0.1%
82 1
< 0.1%
86 1
< 0.1%
87 1
< 0.1%
90 1
< 0.1%
91 1
< 0.1%
92 2
0.1%
93 1
< 0.1%
ValueCountFrequency (%)
186 1
< 0.1%
183 1
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
177 1
< 0.1%
176 2
0.1%
174 2
0.1%
172 1
< 0.1%
171 1
< 0.1%
170 2
0.1%

histogram_variance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct133
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.907241
Minimum0
Maximum269
Zeros186
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-05-05T10:25:00.659598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q324
95-th percentile76
Maximum269
Range269
Interquartile range (IQR)22

Descriptive statistics

Standard deviation29.038766
Coefficient of variation (CV)1.5358542
Kurtosis15.045729
Mean18.907241
Median Absolute Deviation (MAD)6
Skewness3.2102222
Sum39951
Variance843.24991
MonotonicityNot monotonic
2023-05-05T10:25:00.941216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 246
 
11.6%
0 186
 
8.8%
2 163
 
7.7%
3 158
 
7.5%
4 106
 
5.0%
5 83
 
3.9%
8 74
 
3.5%
6 65
 
3.1%
7 53
 
2.5%
9 49
 
2.3%
Other values (123) 930
44.0%
ValueCountFrequency (%)
0 186
8.8%
1 246
11.6%
2 163
7.7%
3 158
7.5%
4 106
5.0%
5 83
 
3.9%
6 65
 
3.1%
7 53
 
2.5%
8 74
 
3.5%
9 49
 
2.3%
ValueCountFrequency (%)
269 1
< 0.1%
254 1
< 0.1%
250 1
< 0.1%
243 1
< 0.1%
241 1
< 0.1%
215 1
< 0.1%
195 1
< 0.1%
190 1
< 0.1%
182 1
< 0.1%
177 1
< 0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size140.5 KiB
0.0
1110 
1.0
838 
-1.0
165 

Length

Max length4
Median length3
Mean length3.078088
Min length3

Characters and Unicode

Total characters6504
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 1110
52.5%
1.0 838
39.7%
-1.0 165
 
7.8%

Length

2023-05-05T10:25:01.192331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-05T10:25:01.412592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1110
52.5%
1.0 1003
47.5%

Most occurring characters

ValueCountFrequency (%)
0 3223
49.6%
. 2113
32.5%
1 1003
 
15.4%
- 165
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4226
65.0%
Other Punctuation 2113
32.5%
Dash Punctuation 165
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3223
76.3%
1 1003
 
23.7%
Other Punctuation
ValueCountFrequency (%)
. 2113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3223
49.6%
. 2113
32.5%
1 1003
 
15.4%
- 165
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3223
49.6%
. 2113
32.5%
1 1003
 
15.4%
- 165
 
2.5%

fetal_health
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size140.3 KiB
1.0
1646 
2.0
292 
3.0
175 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6339
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1646
77.9%
2.0 292
 
13.8%
3.0 175
 
8.3%

Length

2023-05-05T10:25:01.601106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-05T10:25:01.820538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1646
77.9%
2.0 292
 
13.8%
3.0 175
 
8.3%

Most occurring characters

ValueCountFrequency (%)
. 2113
33.3%
0 2113
33.3%
1 1646
26.0%
2 292
 
4.6%
3 175
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4226
66.7%
Other Punctuation 2113
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2113
50.0%
1 1646
38.9%
2 292
 
6.9%
3 175
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 2113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6339
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2113
33.3%
0 2113
33.3%
1 1646
26.0%
2 292
 
4.6%
3 175
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6339
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2113
33.3%
0 2113
33.3%
1 1646
26.0%
2 292
 
4.6%
3 175
 
2.8%

Interactions

2023-05-05T10:24:43.813566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:14.259069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:19.434299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:24.921911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:29.934180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:35.202382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:40.111837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:44.919514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:50.254507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:55.150639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:00.288425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:05.119948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:09.925441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:14.673493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:19.936329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:24.821575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:29.539557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:34.191209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:39.326934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:44.040877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:14.830235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:19.687374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:25.168163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:30.195641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:35.455997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:40.349360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:45.187168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:50.501800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:55.395970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:00.529387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:05.371475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:10.160779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:14.911600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:20.201565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:25.076182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:29.777018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:34.437507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:39.546598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:44.305652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:15.092302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:19.987600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:25.791749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:30.473540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:35.720586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:40.603404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:45.457513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:50.768027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:55.655275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:00.789642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:05.627299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:10.416698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:15.186778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:20.463935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:25.353027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:30.032693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:34.682648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:39.786376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:44.537044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:15.331309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:20.334617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:26.026599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:30.724656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:35.967537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:40.834657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:45.708364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:51.017249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:55.894103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:01.060564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:05.888478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:10.652964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:15.430661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:20.731251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:25.581772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:30.271641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:34.920699image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:40.010784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:44.791507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:15.591506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:20.608615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:26.286003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:30.996005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:36.239525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:41.090023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:46.321316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:51.283805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:56.147403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:01.322169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:06.153595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:10.920640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:15.681873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:20.991246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:25.833668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:30.517087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:35.169994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:40.244485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:45.045388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:15.834832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:20.873835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:26.549070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:31.269044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:36.515444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:41.379586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:46.591051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:51.546887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:56.404548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:01.591889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:06.413809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:11.180410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:15.937254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:21.258597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:26.084032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:30.768253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:35.442371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:40.481997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:45.311921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:16.074027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:21.145842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:26.789439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:31.529422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:36.780850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:41.641016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:46.858740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:51.801078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:56.668635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:01.837969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:06.666208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:11.425860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:16.187605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:21.515664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:26.327749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:31.015147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:35.670292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:40.710840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:45.560793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:16.353421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:21.420990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:27.055843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:31.807939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:37.054804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:41.923720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:47.140099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:52.081389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:56.952043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:02.100522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:06.936697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:11.686662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:16.926213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:21.783085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-05-05T10:24:45.808795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:16.631155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:21.679197image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:27.309215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:32.076890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:37.321018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-05-05T10:24:17.180253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:22.054362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:26.831818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-05-05T10:24:36.169178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:41.193315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:46.055152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:16.866406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-05-05T10:23:27.538989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-05-05T10:23:22.200158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:27.772831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:32.589063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:37.815835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:42.716868image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:47.906621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:52.839723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:57.699249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:02.820786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:07.683026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:12.452151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:17.667797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:22.547430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:27.295019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:32.003511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:36.642770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:41.633148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:46.536837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:17.351006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:22.471790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:28.023219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:32.853918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:38.071790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:42.971761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:48.176615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:53.117280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:57.951670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:03.088501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:07.933430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:12.696989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:17.925780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:22.800306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:27.551375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:32.250033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:37.485053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:41.866343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:46.776451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:17.760945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:22.803628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:28.266995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:33.102669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:38.321295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:43.217200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:48.422778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:53.368510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:58.194856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:03.339653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:08.173955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:12.952508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:18.185099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:23.041185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:27.809904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:32.498622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:37.705655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:42.135696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:47.023393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:18.004312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:23.067230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:28.517792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:33.403536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:38.583435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:43.463790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:48.682875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:53.622133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:58.435517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:03.599491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:08.424576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:13.222753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:18.437592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:23.313503image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:28.049881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:32.737595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:37.948448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:42.370552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:47.296741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:18.249635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:23.346061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:28.762345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:33.665381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:38.844653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:43.716843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:48.955697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:53.886872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:58.680269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:03.859471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:08.695996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:13.476731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:18.691974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:23.563026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:28.297220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:33.000080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:38.198450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:42.608373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:47.544033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:18.485221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:23.744268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:28.992257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:33.918969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:39.099985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:43.952111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:49.247427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:54.135704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:58.922771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:04.112187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:08.938231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:13.715433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:18.930476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:23.805616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:28.531133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:33.229655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:38.420040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:42.834887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:47.783404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:18.721495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:24.139896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:29.238045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:34.171287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:39.357378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:44.197965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:49.501213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:54.394881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:59.171955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:04.368920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:09.185971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:13.963377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:19.194623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:24.049732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:28.773805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:33.463910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:38.647562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:43.111573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:48.017511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:18.955069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:24.385873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:29.468521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:34.423410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:39.607877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:44.434595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:49.755311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:54.644518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:59.404148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:04.634056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:09.428100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:14.202843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:19.436947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:24.297610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:29.078176image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:33.716767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:38.872870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:43.347373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:48.255818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:19.201309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:24.649841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:29.694326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:34.945377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:39.862206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:44.683780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:50.001637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:23:54.898821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:00.051511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:04.879550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:09.681331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:14.446382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:19.679315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:24.549813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:29.302368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:33.958188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:39.100290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-05-05T10:24:43.578491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2023-05-05T10:25:02.084112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
baseline valueaccelerationsfetal_movementuterine_contractionslight_decelerationsprolongued_decelerationsabnormal_short_term_variabilitymean_value_of_short_term_variabilitypercentage_of_time_with_abnormal_long_term_variabilitymean_value_of_long_term_variabilityhistogram_widthhistogram_minhistogram_maxhistogram_number_of_peakshistogram_number_of_zeroeshistogram_modehistogram_meanhistogram_medianhistogram_variancesevere_decelerationshistogram_tendencyfetal_health
baseline value1.000-0.115-0.024-0.137-0.175-0.1420.315-0.3650.340-0.052-0.1540.3560.324-0.120-0.0660.8170.7870.840-0.2390.0870.2750.292
accelerations-0.1151.0000.0520.116-0.014-0.118-0.3460.327-0.491-0.1020.352-0.1680.4690.236-0.0000.1860.2100.2090.3890.0000.0990.313
fetal_movement-0.0240.0521.000-0.3120.0350.1240.2580.074-0.078-0.1140.188-0.1790.1190.191-0.094-0.036-0.081-0.0420.1150.0000.0980.166
uterine_contractions-0.1370.116-0.3121.0000.3000.124-0.2190.327-0.281-0.0620.138-0.1060.1060.1150.057-0.092-0.174-0.1380.2740.0000.0850.239
light_decelerations-0.175-0.0140.0350.3001.0000.326-0.1540.618-0.386-0.2490.584-0.6050.2310.4820.275-0.254-0.472-0.3310.7130.2360.1010.195
prolongued_decelerations-0.142-0.1180.1240.1240.3261.0000.0300.301-0.219-0.2370.287-0.3110.1050.2410.080-0.313-0.406-0.3600.3800.0660.2040.414
abnormal_short_term_variability0.315-0.3460.258-0.219-0.1540.0301.000-0.5180.422-0.336-0.2810.272-0.128-0.168-0.1750.1230.1340.161-0.3440.1140.1550.451
mean_value_of_short_term_variability-0.3650.3270.0740.3270.6180.301-0.5181.000-0.683-0.0220.717-0.6990.3740.5550.296-0.312-0.459-0.3570.7790.0480.0560.332
percentage_of_time_with_abnormal_long_term_variability0.340-0.491-0.078-0.281-0.386-0.2190.422-0.6831.000-0.042-0.5290.470-0.321-0.361-0.1650.2220.2910.245-0.6490.0000.0230.476
mean_value_of_long_term_variability-0.052-0.102-0.114-0.062-0.249-0.237-0.336-0.022-0.0421.0000.048-0.078-0.042-0.0010.0750.0060.0800.014-0.0930.0000.1000.220
histogram_width-0.1540.3520.1880.1380.5840.287-0.2810.717-0.5290.0481.000-0.9050.6520.7750.331-0.103-0.234-0.1350.8310.0970.2450.291
histogram_min0.356-0.168-0.179-0.106-0.605-0.3110.272-0.6990.470-0.078-0.9051.000-0.297-0.700-0.3280.3450.4710.386-0.7540.0830.2140.313
histogram_max0.3240.4690.1190.1060.2310.105-0.1280.374-0.321-0.0420.652-0.2971.0000.5040.1670.4100.3400.4110.5270.0490.1700.142
histogram_number_of_peaks-0.1200.2360.1910.1150.4820.241-0.1680.555-0.361-0.0010.775-0.7000.5041.0000.292-0.072-0.192-0.1060.6470.0000.1410.124
histogram_number_of_zeroes-0.066-0.000-0.0940.0570.2750.080-0.1750.296-0.1650.0750.331-0.3280.1670.2921.000-0.073-0.117-0.0750.3010.0000.0410.047
histogram_mode0.8170.186-0.036-0.092-0.254-0.3130.123-0.3120.2220.006-0.1030.3450.410-0.072-0.0731.0000.9080.961-0.1530.5290.3710.434
histogram_mean0.7870.210-0.081-0.174-0.472-0.4060.134-0.4590.2910.080-0.2340.4710.340-0.192-0.1170.9081.0000.957-0.3260.4040.3050.497
histogram_median0.8400.209-0.042-0.138-0.331-0.3600.161-0.3570.2450.014-0.1350.3860.411-0.106-0.0750.9610.9571.000-0.2170.4680.3550.435
histogram_variance-0.2390.3890.1150.2740.7130.380-0.3440.779-0.649-0.0930.831-0.7540.5270.6470.301-0.153-0.326-0.2171.0000.2300.1450.267
severe_decelerations0.0870.0000.0000.0000.2360.0660.1140.0480.0000.0000.0970.0830.0490.0000.0000.5290.4040.4680.2301.0000.1350.159
histogram_tendency0.2750.0990.0980.0850.1010.2040.1550.0560.0230.1000.2450.2140.1700.1410.0410.3710.3050.3550.1450.1351.0000.169
fetal_health0.2920.3130.1660.2390.1950.4140.4510.3320.4760.2200.2910.3130.1420.1240.0470.4340.4970.4350.2670.1590.1691.000

Missing values

2023-05-05T10:24:48.761748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-05-05T10:24:49.375994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

baseline valueaccelerationsfetal_movementuterine_contractionslight_decelerationssevere_decelerationsprolongued_decelerationsabnormal_short_term_variabilitymean_value_of_short_term_variabilitypercentage_of_time_with_abnormal_long_term_variabilitymean_value_of_long_term_variabilityhistogram_widthhistogram_minhistogram_maxhistogram_number_of_peakshistogram_number_of_zeroeshistogram_modehistogram_meanhistogram_medianhistogram_variancehistogram_tendencyfetal_health
0120.00.0000.00.0000.0000.00.00073.00.543.02.464.062.0126.02.00.0120.0137.0121.073.01.02.0
1132.00.0060.00.0060.0030.00.00017.02.10.010.4130.068.0198.06.01.0141.0136.0140.012.00.01.0
2133.00.0030.00.0080.0030.00.00016.02.10.013.4130.068.0198.05.01.0141.0135.0138.013.00.01.0
3134.00.0030.00.0080.0030.00.00016.02.40.023.0117.053.0170.011.00.0137.0134.0137.013.01.01.0
4132.00.0070.00.0080.0000.00.00016.02.40.019.9117.053.0170.09.00.0137.0136.0138.011.01.01.0
5134.00.0010.00.0100.0090.00.00226.05.90.00.0150.050.0200.05.03.076.0107.0107.0170.00.03.0
6134.00.0010.00.0130.0080.00.00329.06.30.00.0150.050.0200.06.03.071.0107.0106.0215.00.03.0
7122.00.0000.00.0000.0000.00.00083.00.56.015.668.062.0130.00.00.0122.0122.0123.03.01.03.0
8122.00.0000.00.0020.0000.00.00084.00.55.013.668.062.0130.00.00.0122.0122.0123.03.01.03.0
9122.00.0000.00.0030.0000.00.00086.00.36.010.668.062.0130.01.00.0122.0122.0123.01.01.03.0
baseline valueaccelerationsfetal_movementuterine_contractionslight_decelerationssevere_decelerationsprolongued_decelerationsabnormal_short_term_variabilitymean_value_of_short_term_variabilitypercentage_of_time_with_abnormal_long_term_variabilitymean_value_of_long_term_variabilityhistogram_widthhistogram_minhistogram_maxhistogram_number_of_peakshistogram_number_of_zeroeshistogram_modehistogram_meanhistogram_medianhistogram_variancehistogram_tendencyfetal_health
2116140.00.0040.0000.0040.0000.00.080.00.236.02.218.0140.0158.01.00.0147.0148.0149.01.00.01.0
2117140.00.0000.0000.0080.0000.00.079.00.320.08.526.0124.0150.01.00.0144.0143.0145.01.01.01.0
2118140.00.0000.0000.0060.0010.00.079.00.526.07.021.0129.0150.01.00.0145.0142.0145.02.01.01.0
2119140.00.0000.0000.0070.0010.00.079.00.627.06.426.0124.0150.01.00.0144.0141.0145.01.01.01.0
2120140.00.0000.0000.0050.0010.00.077.00.717.06.031.0124.0155.02.00.0145.0143.0145.02.00.01.0
2121140.00.0000.0000.0070.0000.00.079.00.225.07.240.0137.0177.04.00.0153.0150.0152.02.00.02.0
2122140.00.0010.0000.0070.0000.00.078.00.422.07.166.0103.0169.06.00.0152.0148.0151.03.01.02.0
2123140.00.0010.0000.0070.0000.00.079.00.420.06.167.0103.0170.05.00.0153.0148.0152.04.01.02.0
2124140.00.0010.0000.0060.0000.00.078.00.427.07.066.0103.0169.06.00.0152.0147.0151.04.01.02.0
2125142.00.0020.0020.0080.0000.00.074.00.436.05.042.0117.0159.02.01.0145.0143.0145.01.00.01.0